Machine Learning Engineer

November 19

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Pythian

WebsiteLinkedInAll Job Openings

Oracle • Microsoft SQL Server • MySQL • NoSQL • Big Data

201 - 500 employees

Founded 1997

🤖 Artificial Intelligence

💰 $15M Venture Round on 2017-05

Description

• As a Pythian Machine Learning Engineer, you will focus on building and optimizing machine learning pipelines, deploying models to production, and ensuring their scalability and reliability. • You will be responsible for integrating machine learning models into various products and client solutions, with an emphasis on utilizing pre-trained models like Large Language Models (LLMs) and other AI-driven technologies. • Your role will involve collaboration with cross-functional teams to develop and maintain robust, efficient, and scalable machine learning systems.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. Ph.D. is a plus. • 3+ years of experience in machine learning engineering, software engineering, or a related role. • Strong programming skills in Python, Java, or similar languages, with proficiency in ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. • Hands-on experience with deploying pre-trained models, such as Large Language Models (LLMs), into production environments. • Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes). • Solid understanding of data pipelines, ETL processes, and version control systems (e.g., Git). • Experience in building scalable, distributed systems and optimizing machine learning models for performance. • Familiarity with MLOps tools and practices, including model versioning, monitoring, and CI/CD pipelines. • Strong communication skills and ability to collaborate with cross-functional teams, including data scientists and engineers.

Benefits

• Love your career: Competitive total rewards package with excellent take home salaries, shifted work time bonus (if applicable) and an annual bonus plan! • Love your development: Hone your skills or learn new ones with an annual training allowance; 2 paid professional development days, attend conferences, become certified, whatever you like! • Love your work/life balance: 3 weeks of paid time off and flexible working hours. All you need is a stable internet connection! • Love your workspace: We give you all the equipment you need to work from home including a laptop with your choice of OS, and budget to personalize your work environment! • Love your community: Blog during work hours; take a day off and volunteer for your favorite charity.